API Reference#
Kernel Test#
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Class for performing the kernel-based quadratic distance Goodness-of-fit tests using the Gaussian kernel with tuning parameter h. |
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This function computes the kernel bandwidth of the Gaussian kernel for the one sample, two-sample and ksample kernel-based quadratic distance (KBQD) tests. |
Poisson Kernel Test#
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Class for Poisson kernel-based quadratic distance test of Uniformity on the Sphere |
Spherical Clustering#
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Poisson kernel-based clustering on the Sphere. |
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Class for estimating density and generating samples of Poisson-kernel based distribution (PKBD). |
User Interface#
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The UI class is a user interface class that runs a Streamlit dashboard using asyncio. |
Datasets#
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The wireless data frame has 2000 rows and 8 columns. |
Tools#
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Generate random samples from the hypersphere |
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The stats function calculates statistics for one or multiple groups of data. |
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The function qq_plot is used to create a quantile-quantile plot, either for a single sample or for two samples. |
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The function sphere3d creates a 3D scatter plot with a sphere as the surface and data points plotted on it. |
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This function plots a 2D scatter plot of data points, with an optional argument to color the points based on a cluster label, and also plots a unit circle. |